2021
DOI: 10.1016/j.jbusres.2020.09.054
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Innovating by eliminating: Technological resource divestiture and firms’ innovation performance

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Cited by 17 publications
(7 citation statements)
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“…We use firm random effects model with industry and year fixed effects with 2,753 observations from 948 firms over the sample period (2010)(2011)(2012)(2013)(2014). Firm random effects model is used to control for firm-level heterogeneity while analyzing cross-sectional time series data in a model that includes the fixed time effects over the sample period, fixed industry effects across different industry groups and fixed region effects over different provinces (Kim et al, 2021). Our sample firms are from 36 industry groups over 31 provinces, autonomous regions and municipalities in China.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…We use firm random effects model with industry and year fixed effects with 2,753 observations from 948 firms over the sample period (2010)(2011)(2012)(2013)(2014). Firm random effects model is used to control for firm-level heterogeneity while analyzing cross-sectional time series data in a model that includes the fixed time effects over the sample period, fixed industry effects across different industry groups and fixed region effects over different provinces (Kim et al, 2021). Our sample firms are from 36 industry groups over 31 provinces, autonomous regions and municipalities in China.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…For example, the coefficient of a viral loop or the speed of market growth might be useful when measuring service innovation outcomes (see Snyder et al, 2016). Moreover, N. Kim et al (2021) adopted multiple measures to evaluate firms’ innovative performance, such as research and development intensity, the number of mergers and acquisitions, and patent class diversity.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers have realized the need for more study on divestment [36,37]. Most of the current divesture research focuses on the labor aspect [38], innovation performance from the technological perspective [39], or the subsidiaries domain [40][41][42]. Review of works of literature on the KM process and divestment, few of them have clear ideas about options regarding obsolete knowledge or even pay attention to giving up knowledge.…”
Section: Organizational Learning and Knowledge Divestmentmentioning
confidence: 99%